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Adaptive domain-specific service monitoring
(Springer Science+Business Media, 2014)
We propose an adaptive and domain-specific service monitoring approach to detect partner service errors in a cost-effective manner. Hereby, we not only consider generic errors such as file not found or connection timed ...
Fault masking as a service
(Wiley, 2014-07)
In SOA, composite services depend on a set of partner services to perform their tasks. These partner services may become unavailable because of system and/or network faults, leading to an increased error rate for the ...
Effort estimation for architectural refactoring to introduce module isolation
(Springer, 2014)
The decomposition of software architecture into modular units is driven by both functional and quality concerns. Dependability and security are among quality concerns that require a software to be decomposed into separate ...
Automatically learning usage behavior and generating event sequences for black-box testing of reactive systems
(The ACM Digital Library, 2019-06)
We propose a novel technique based on recurrent artificial neural networks to generate test cases for black-box testing of reactive systems. We combine functional testing inputs that are automatically generated from a model ...
CPU design simplified
(IEEE, 2018-12-10)
The first goal of this paper is to introduce a simple and customizable soft CPU named VerySimpleCPU (VSCPU), which could be easily implemented on FPGAs with a complete toolchain including instruction set simulator, assembler, ...
Static analysis of multi-staged programs via unstaging translation
(ACM, 2011)
Static analysis of multi-staged programs is challenging because thebasic assumption of conventional static analysis no longer holds: the program text itself is no longer a fixed static entity, but rather a dynamically ...
VISOR: A fast image processing pipeline with scaling and translation invariance for test oracle automation of visual output systems
(The ACM Digital Library, 2018-02)
A test oracle automation approach proposed for systems that produce visual output.Root causes of accuracy issues analyzed for test oracles based on image comparison.Image processing techniques employed to improve the ...
A sparse matrix‐vector multiplication method with low preprocessing cost
(Wiley, 2018-11-10)
Sparse matrix-vector multiplication (SpMV) is a crucial operation used for solving many engineering and scientific problems. In general, there is no single SpMV method that gives high performance for all sparse matrices. ...
Optimization by runtime specialization for sparse matrix-vector multiplication
(ACM, 2014)
Runtime specialization optimizes programs based on partial information available only at run time. It is applicable when some input data is used repeatedly while other input data varies. This technique has the potential ...
Autotuning runtime specialization for sparse matrix-vector multiplication
(ACM, 2016-04)
Runtime specialization is used for optimizing programs based on partial information available only at runtime. In this paper we apply autotuning on runtime specialization of Sparse Matrix-Vector Multiplication to predict ...
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